This map shows the geographic impact of Peter Sykacek's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter Sykacek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Sykacek more than expected).
This network shows the impact of papers produced by Peter Sykacek. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter Sykacek. The network helps show where Peter Sykacek may publish in the future.
Co-authorship network of co-authors of Peter Sykacek
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Sykacek.
A scholar is included among the top collaborators of Peter Sykacek based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Peter Sykacek. Peter Sykacek is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Rezek, Iead, Stephen Roberts, & Peter Sykacek. (2003). Ensemble Coupled Hidden Markov Models for Joint Characterisation of Dynamic Signals. International Conference on Artificial Intelligence and Statistics. 233–239.2 indexed citations
12.
Sykacek, Peter, et al.. (2003). Probabilistic methods in BCI research. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 11(2). 192–194.26 indexed citations
13.
Sykacek, Peter & Stephen Roberts. (2002). Adaptive Classification by Variational Kalman Filtering. Oxford University Research Archive (ORA) (University of Oxford). 15. 753–760.17 indexed citations
14.
Sykacek, Peter & Stephen Roberts. (2001). Bayesian time series classification. Oxford University Research Archive (ORA) (University of Oxford). 14. 937–944.20 indexed citations
Sykacek, Peter. (1999). On Input Selection with Reversible Jump Markov Chain Monte Carlo Sampling. Neural Information Processing Systems. 12. 638–644.10 indexed citations
17.
Cristianini, Nello, John Shawe‐Taylor, & Peter Sykacek. (1998). Bayesian Classifiers Are Large Margin Hyperplanes in a Hilbert Space. ePrints Soton (University of Southampton). 109–117.7 indexed citations
Sykacek, Peter, Georg Dorffner, Peter Rappelsberger, & J. Zeitlhofer. (1997). Experiences with Bayesian Learning in a Real World Application. Neural Information Processing Systems. 10. 964–970.
20.
Sykacek, Peter. (1997). Equivalent error bars for neural network classifiers trained by Bayesian inference.. The European Symposium on Artificial Neural Networks.11 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.